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Sigma metrics have become a useful tool for all parts of the quality control (QC) design process. Through the allowable total error model of laboratory testing, analytical assay performance can be judged on the Six Sigma scale. This not only allows benchmarking the performance of methods and instruments on a universal scale, it allows laboratories to easily visualize performance, optimize the QC rules and numbers of control measurements they implement, and now even schedule the frequency of running those controls.
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Sten Westgard
Hassan Bayat
James O. Westgard
Biochemia Medica
Mazandaran University of Medical Sciences
Sailbri Cooper (United States)
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Westgard et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69d78f913fae90fd6048fc3c — DOI: https://doi.org/10.11613/bm.2018.020502
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